Who we are
We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.
The team at IBM Research Cambridge in Kendall Square.
Leadership
The MIT-IBM Watson AI Lab is lead by MIT Chair, inaugural MIT Chief Innovation and Strategy Officer, and School of Engineering Dean Anantha Chandrakasan; Dario Gil, IBM Chair, IBM Senior Vice President, and Director of Research; and MIT Co-chair and MIT Stephen A. Schwarzman College of Computing Dean Dan Huttenlocher. David Cox of IBM Research and Aude Oliva of MIT co-direct the Lab. Each of our projects is jointly proposed and executed by IBM researchers and MIT faculty members. The MIT-IBM steering committee is composed of Co-chairs David Cox and Aude Oliva, head of AI+D in the MIT Schwarzman College of Computing Antonio Torralba, Jerry McAfee Professor in Engineering at MIT Elsa A. Olivetti, Director of IBM Research Cambridge Lisa Amini, and Vice President of IBM Research Exploratory Science Jeff Welser.
Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab, director of strategic industry engagement in the MIT Schwarzman College of Computing, and a senior research scientist at MIT CSAIL, working on natural and artificial intelligence .
David Cox is the IBM director the MIT-IBM Watson AI Lab and the VP for AI Models at IBM Research. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the Lab’s work in neuro-symbolic AI and other key areas while leading the Lab’s IBM team in Cambridge, MA.
Anantha Chandrakasan is the MIT chair of the MIT-IBM Watson AI Lab, inaugural MIT chief innovation and strategy officer, dean of the MIT School of Engineering, and the Vannevar Bush Professor of Electrical Engineering and Computer Science. His research focuses on making electronic circuits more energy efficient.
Daniel Huttenlocher is the MIT co-chair of the MIT-IBM Watson AI Lab, dean of the MIT Schwarzman College of Computing, and the Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science. He is recognized for his work in computer vision, social media, and understanding AI.
People
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Takashi Ando Navid Azizan Ramon Fernandez Astudillo Faez Ahmed Jacob Andreas Masataro Asai Lisa AminiC
Guy Cohen Tulio Coppola Zhenfang Chen Pin-Yu Chen Shiyu Chang Jie Chen John Cohn David Cox Anantha ChandrakasanD
Priya Donti Catherine D’Ignazio Nima Dehmamy Veronique Demers Luca Daniel Jesús del Alamo Subhro DasG
William H. Green Brian Goehring Marzyeh Ghassemi Negin Golrezaei Emily Goldman Polina Golland James Glass Dan Gutfreund Kristjan Greenewald Chuang Gan Darío GilH
Pavithra Harsha Kaiming He Juanita Hazel Naoise Holohan Anette “Peko” Hosoi Lauren Hinkel Daniel Huttenlocher Song Han Ben Dongsung HuhL
Retsef Levi Nuno Loureiro Mina Konaković Luković Ja Young Lee Ju Li Charles E. Leiserson Sijia LiuM
Mauro Martino Adriana Meza Soria Wojciech Matusik Liz McShane Louis Mandel Alexandre Megretski Scott McFaddin Ian Molloy Rahul Mazumder Youssef Mroueh Farzaneh MirzazadehS
Partha Suryanarayanan Paul Solomon Alex Shalek Wei Sun Tess Smidt Julian Shun Yossi Sheffi Jonathan Z Sun Samantha Smiley Kate Soule Devavrat Shah Mark Squillante Armando Solar-Lezama Arvind Satyanarayan Julie Shah David Sontag Prasanna Sattigeri Justin Solomon Hendrik Strobelt Akash SrivastavaAI Fairness
Catherine D’IgnazioAI Hardware
Guy Cohen John Rozen Paul Solomon Teodor Todorov Dirk Pfeiffer Xin Zhang Jonathan Z Sun Jesús del AlamoAI Safety
Nathan FultonAlgorithm Design
Tess SmidtAutoML
Armando Solar-LezamaBayesian Modeling
Tamara BroderickComputational Design
Faez AhmedComputational neuroscience
James KozloskiComputer Vision
Sara Beery Rameswar Panda Rogerio Feris Daniel Huttenlocher Dan Gutfreund Hildegard Kühne Aude Oliva Antonio TorralbaCybersecurity
Ian MolloyExplainability
Hendrik StrobeltFoundation models
Adriana Meza SoriaInformation Theory
Yury PolyanskiyKnowledge Representation
Veronika ThostMachine Learning
Navid Azizan Jacob Andreas Gregory Wornell Rahul Mazumder Una-May O’Reilly Justin SolomonMedical Image Analysis
Polina GollandMultimodal Learning
Youssef MrouehNeural Symbolic Systems
Brian WilliamsNeuroscience
David CoxOperations Research
Markus Ettl Pavithra Harsha Y. Karen Zheng Retsef Levi Matthias Winkenbach Negin Golrezaei Georgia PerakisOptimization
Srinivasan Parthasarathy Gabriele Farina Wei Sun Alexandre Megretski Mark Squillante Jie ChenPhysics
Nuno LoureiroRobotics
Leslie KaelblingSoftware Engineering
Tulio CoppolaStatistics
Devavrat ShahTransfer Learning
Prasanna Sattigeri